R. C. Wolf

466 total citations
12 papers, 386 citations indexed

About

R. C. Wolf is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, R. C. Wolf has authored 12 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in R. C. Wolf's work include Nutrition, Genetics, and Disease (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Photoreceptor and optogenetics research (2 papers). R. C. Wolf is often cited by papers focused on Nutrition, Genetics, and Disease (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Photoreceptor and optogenetics research (2 papers). R. C. Wolf collaborates with scholars based in United States, Germany and Spain. R. C. Wolf's co-authors include Rüdiger Hardeland, Burkhard Pöeggeler, Rüssel J. Reiter, Ivonne Balzer, B. Fuhrberg, Klaus Raschke, Hongmei Gou, Patrick Tso, Koji Fukagawa and David E. Martin and has published in prestigious journals such as Planta, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Experimental Biology and Medicine.

In The Last Decade

R. C. Wolf

12 papers receiving 365 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. C. Wolf United States 6 202 94 83 67 61 12 386
Vijayalaxmi India 13 222 1.1× 68 0.7× 171 2.1× 148 2.2× 65 1.1× 25 715
G Csaba Hungary 14 143 0.7× 22 0.2× 301 3.6× 112 1.7× 61 1.0× 119 737
Stacey L. Krager United States 10 157 0.8× 45 0.5× 123 1.5× 190 2.8× 34 0.6× 15 466
N Milev United Kingdom 6 172 0.9× 47 0.5× 105 1.3× 92 1.4× 46 0.8× 12 305
И. А. Виноградова Russia 9 391 1.9× 68 0.7× 109 1.3× 196 2.9× 42 0.7× 50 614
Juan Francisco García Spain 9 225 1.1× 36 0.4× 88 1.1× 42 0.6× 19 0.3× 11 599
Maxine J Fowler United Kingdom 14 50 0.2× 84 0.9× 163 2.0× 64 1.0× 67 1.1× 19 431
Graciela M. Lozano Spain 10 250 1.2× 36 0.4× 97 1.2× 44 0.7× 19 0.3× 10 667
Águeda Ortiz Spain 12 250 1.2× 36 0.4× 107 1.3× 44 0.7× 19 0.3× 13 707
Christine Ansell United States 12 478 2.4× 98 1.0× 131 1.6× 271 4.0× 26 0.4× 14 735

Countries citing papers authored by R. C. Wolf

Since Specialization
Citations

This map shows the geographic impact of R. C. Wolf's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by R. C. Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. C. Wolf more than expected).

Fields of papers citing papers by R. C. Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. C. Wolf. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by R. C. Wolf. The network helps show where R. C. Wolf may publish in the future.

Co-authorship network of co-authors of R. C. Wolf

This figure shows the co-authorship network connecting the top 25 collaborators of R. C. Wolf. A scholar is included among the top collaborators of R. C. Wolf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. C. Wolf. R. C. Wolf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Hochman, Michael E., et al.. (2008). Patient-tailored medicine, Part one: the impact of race and genetics on medicine.. PubMed. 2(1). 1–3, 5. 1 indexed citations
2.
Azuma, J., Ulrich Brinkmann, D. A. Flockhart, et al.. (2004). Pharmacogenomics in admixed populations: the Brazilian pharmacogenetics/pharmacogenomics network—REFARGEN. 1 indexed citations
4.
Hardeland, Rüdiger, Ivonne Balzer, Burkhard Pöeggeler, et al.. (1995). On the primary functions of melatonin in evolution: Mediation of photoperiodic signals in a unicell, photooxidation, and scavenging of free radicals*. Journal of Pineal Research. 18(2). 104–111. 234 indexed citations
5.
Fukagawa, Koji, Hongmei Gou, R. C. Wolf, & Patrick Tso. (1994). Circadian rhythm of serum and lymph apolipoprotein AIV in ad libitum-fed and fasted rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 267(5). R1385–R1390. 39 indexed citations
6.
Hardeland, Rüdiger, et al.. (1994). Circadian rhythm of tyrosine aminotransferase activity inGonyaulax polyedra. Biological Rhythm Research. 25(1). 51–58. 5 indexed citations
7.
Wolf, R. C.. (1983). Medicare policy and regulatory control.. PubMed. 2(1). 3–6. 1 indexed citations
8.
Wolf, R. C., et al.. (1973). Naturally Occurring Cholelithiasis in a Rhesus Monkey and Its Effects on Plasma and Biliary Lipid Concentrations. American Journal of Veterinary Research. 34(7). 971–974. 3 indexed citations
9.
Martin, David E., R. C. Wolf, & Roland K. Meyer. (1972). The Effects of Pregnancy on Biliary Lipids in Rhesus Monkeys. Experimental Biology and Medicine. 139(1). 115–117. 5 indexed citations
10.
Martin, David E., R. C. Wolf, & R. Meyer. (1971). Plasma Lipid Levels During Pregnancy in the Rhesus Monkey (Macaca mulatta). Experimental Biology and Medicine. 138(2). 638–641. 9 indexed citations
11.
Wolf, R. C., et al.. (1967). Plasma Cholesterol in Pregnant Rhesus Monkeys.. Experimental Biology and Medicine. 125(4). 1230–1231. 16 indexed citations
12.
Wolf, R. C., et al.. (1965). Hyperlipemia in Infant Monkeys Fed Excess L-Histidine.. Experimental Biology and Medicine. 119(2). 561–562. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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